Triple

T38401
Position Surface form Disambiguated ID Type / Status
Subject Hult International Business School E760 entity
Predicate teachingApproach P779 FINISHED
Object practice-oriented LITERAL FINISHED

How this triple was built (2 steps)

Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.

NER Named-entity recognition gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: practice-oriented | Statement: [Hult International Business School, teachingApproach, practice-oriented]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: teachingApproach
Context triple: [Hult International Business School, teachingApproach, practice-oriented]
  • A. educationalApproach chosen
    Indicates the method, strategy, or philosophy used to guide teaching and learning within an educational context.
  • B. researchApproach
    Indicates the methodological strategy or set of methods used to conduct and structure a research activity or investigation.
  • C. hasEthicalTeaching
    Indicates that one entity provides, promotes, or embodies instruction or guidance related to ethical principles, values, or moral conduct for another entity.
  • D. educationalModel
    Indicates that one entity serves as an educational model, framework, or paradigm that guides or structures the teaching, learning, or training practices of another entity.
  • E. assessmentMethod
    Indicates the method or procedure used to evaluate, measure, or judge something.
  • F. None of above.

Provenance (3 batches)

The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.

Step Stage Batch ID Status When
creating Elicitation batch_69a247a8f6c08190bac804906d62ed5a completed Feb. 28, 2026, 1:40 a.m.
NER Named-entity recognition batch_69a24b4d5bd08190a3a48eb26e67768c completed Feb. 28, 2026, 1:56 a.m.
PD Predicate disambiguation batch_69a24ab6141881908701106aa97e4735 completed Feb. 28, 2026, 1:53 a.m.
Created at: Feb. 28, 2026, 1:46 a.m.